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<a href="_r_v_e_a_8h.html">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a id="l00001" name="l00001"></a><span class="lineno">    1</span><span class="comment">//===========================================================================</span><span class="comment"></span></div>
<div class="line"><a id="l00002" name="l00002"></a><span class="lineno">    2</span><span class="comment">/*!</span></div>
<div class="line"><a id="l00003" name="l00003"></a><span class="lineno">    3</span><span class="comment"> *</span></div>
<div class="line"><a id="l00004" name="l00004"></a><span class="lineno">    4</span><span class="comment"> *</span></div>
<div class="line"><a id="l00005" name="l00005"></a><span class="lineno">    5</span><span class="comment"> * \brief       Implements the RVEA algorithm.</span></div>
<div class="line"><a id="l00006" name="l00006"></a><span class="lineno">    6</span><span class="comment"> *</span></div>
<div class="line"><a id="l00007" name="l00007"></a><span class="lineno">    7</span><span class="comment"> * \author      Bjoern Bugge Grathwohl</span></div>
<div class="line"><a id="l00008" name="l00008"></a><span class="lineno">    8</span><span class="comment"> * \date        March 2017</span></div>
<div class="line"><a id="l00009" name="l00009"></a><span class="lineno">    9</span><span class="comment"> *</span></div>
<div class="line"><a id="l00010" name="l00010"></a><span class="lineno">   10</span><span class="comment"> * \par Copyright 1995-2017 Shark Development Team</span></div>
<div class="line"><a id="l00011" name="l00011"></a><span class="lineno">   11</span><span class="comment"> *</span></div>
<div class="line"><a id="l00012" name="l00012"></a><span class="lineno">   12</span><span class="comment"> * &lt;BR&gt;&lt;HR&gt;</span></div>
<div class="line"><a id="l00013" name="l00013"></a><span class="lineno">   13</span><span class="comment"> * This file is part of Shark.</span></div>
<div class="line"><a id="l00014" name="l00014"></a><span class="lineno">   14</span><span class="comment"> * &lt;https://shark-ml.github.io/Shark/&gt;</span></div>
<div class="line"><a id="l00015" name="l00015"></a><span class="lineno">   15</span><span class="comment"> *</span></div>
<div class="line"><a id="l00016" name="l00016"></a><span class="lineno">   16</span><span class="comment"> * Shark is free software: you can redistribute it and/or modify</span></div>
<div class="line"><a id="l00017" name="l00017"></a><span class="lineno">   17</span><span class="comment"> * it under the terms of the GNU Lesser General Public License as published</span></div>
<div class="line"><a id="l00018" name="l00018"></a><span class="lineno">   18</span><span class="comment"> * by the Free Software Foundation, either version 3 of the License, or</span></div>
<div class="line"><a id="l00019" name="l00019"></a><span class="lineno">   19</span><span class="comment"> * (at your option) any later version.</span></div>
<div class="line"><a id="l00020" name="l00020"></a><span class="lineno">   20</span><span class="comment"> *</span></div>
<div class="line"><a id="l00021" name="l00021"></a><span class="lineno">   21</span><span class="comment"> * Shark is distributed in the hope that it will be useful,</span></div>
<div class="line"><a id="l00022" name="l00022"></a><span class="lineno">   22</span><span class="comment"> * but WITHOUT ANY WARRANTY; without even the implied warranty of</span></div>
<div class="line"><a id="l00023" name="l00023"></a><span class="lineno">   23</span><span class="comment"> * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the</span></div>
<div class="line"><a id="l00024" name="l00024"></a><span class="lineno">   24</span><span class="comment"> * GNU Lesser General Public License for more details.</span></div>
<div class="line"><a id="l00025" name="l00025"></a><span class="lineno">   25</span><span class="comment"> *</span></div>
<div class="line"><a id="l00026" name="l00026"></a><span class="lineno">   26</span><span class="comment"> * You should have received a copy of the GNU Lesser General Public License</span></div>
<div class="line"><a id="l00027" name="l00027"></a><span class="lineno">   27</span><span class="comment"> * along with Shark.  If not, see &lt;http://www.gnu.org/licenses/&gt;.</span></div>
<div class="line"><a id="l00028" name="l00028"></a><span class="lineno">   28</span><span class="comment"> *</span></div>
<div class="line"><a id="l00029" name="l00029"></a><span class="lineno">   29</span><span class="comment"> */</span></div>
<div class="line"><a id="l00030" name="l00030"></a><span class="lineno">   30</span><span class="comment">//===========================================================================</span></div>
<div class="line"><a id="l00031" name="l00031"></a><span class="lineno">   31</span> </div>
<div class="line"><a id="l00032" name="l00032"></a><span class="lineno">   32</span><span class="preprocessor">#ifndef SHARK_ALGORITHMS_DIRECT_SEARCH_RVEA</span></div>
<div class="line"><a id="l00033" name="l00033"></a><span class="lineno">   33</span><span class="preprocessor">#define SHARK_ALGORITHMS_DIRECT_SEARCH_RVEA</span></div>
<div class="line"><a id="l00034" name="l00034"></a><span class="lineno">   34</span> </div>
<div class="line"><a id="l00035" name="l00035"></a><span class="lineno">   35</span><span class="preprocessor">#include &lt;<a class="code" href="_d_l_l_support_8h.html">shark/Core/DLLSupport.h</a>&gt;</span></div>
<div class="line"><a id="l00036" name="l00036"></a><span class="lineno">   36</span><span class="preprocessor">#include &lt;<a class="code" href="_abstract_multi_objective_optimizer_8h.html">shark/Algorithms/AbstractMultiObjectiveOptimizer.h</a>&gt;</span></div>
<div class="line"><a id="l00037" name="l00037"></a><span class="lineno">   37</span><span class="preprocessor">#include &lt;<a class="code" href="_individual_8h.html">shark/Algorithms/DirectSearch/Individual.h</a>&gt;</span></div>
<div class="line"><a id="l00038" name="l00038"></a><span class="lineno">   38</span><span class="preprocessor">#include &lt;<a class="code" href="_reference_vector_adaptation_8h.html">shark/Algorithms/DirectSearch/Operators/ReferenceVectorAdaptation.h</a>&gt;</span></div>
<div class="line"><a id="l00039" name="l00039"></a><span class="lineno">   39</span><span class="preprocessor">#include &lt;<a class="code" href="_reference_vector_guided_selection_8h.html">shark/Algorithms/DirectSearch/Operators/Selection/ReferenceVectorGuidedSelection.h</a>&gt;</span></div>
<div class="line"><a id="l00040" name="l00040"></a><span class="lineno">   40</span><span class="preprocessor">#include &lt;<a class="code" href="_simulated_binary_crossover_8h.html">shark/Algorithms/DirectSearch/Operators/Recombination/SimulatedBinaryCrossover.h</a>&gt;</span></div>
<div class="line"><a id="l00041" name="l00041"></a><span class="lineno">   41</span><span class="preprocessor">#include &lt;<a class="code" href="_polynomial_mutation_8h.html">shark/Algorithms/DirectSearch/Operators/Mutation/PolynomialMutation.h</a>&gt;</span></div>
<div class="line"><a id="l00042" name="l00042"></a><span class="lineno">   42</span><span class="preprocessor">#include &lt;<a class="code" href="_lattice_8h.html">shark/Algorithms/DirectSearch/Operators/Lattice.h</a>&gt;</span></div>
<div class="line"><a id="l00043" name="l00043"></a><span class="lineno">   43</span> </div>
<div class="line"><a id="l00044" name="l00044"></a><span class="lineno">   44</span><span class="keyword">namespace </span><a class="code hl_namespace" href="namespaceshark.html" title="AbstractMultiObjectiveOptimizer.">shark</a> {</div>
<div class="line"><a id="l00045" name="l00045"></a><span class="lineno">   45</span><span class="comment"></span> </div>
<div class="line"><a id="l00046" name="l00046"></a><span class="lineno">   46</span><span class="comment">/// \brief Implements the RVEA algorithm.</span></div>
<div class="line"><a id="l00047" name="l00047"></a><span class="lineno">   47</span><span class="comment">///</span></div>
<div class="line"><a id="l00048" name="l00048"></a><span class="lineno">   48</span><span class="comment">/// Implementation of the RVEA algorithm from the following paper:</span></div>
<div class="line"><a id="l00049" name="l00049"></a><span class="lineno">   49</span><span class="comment">/// R. Cheng, Y. Jin, M. Olhofer, and B. Sendhoff, “A reference vector guided</span></div>
<div class="line"><a id="l00050" name="l00050"></a><span class="lineno">   50</span><span class="comment">/// evolutionary algorithm for many-objective optimization,” IEEE Transactions on</span></div>
<div class="line"><a id="l00051" name="l00051"></a><span class="lineno">   51</span><span class="comment">/// Evolutionary Computation, Vol 20, Issue 5, October 2016</span></div>
<div class="line"><a id="l00052" name="l00052"></a><span class="lineno">   52</span><span class="comment">/// http://dx.doi.org/10.1109/TEVC.2016.2519378</span></div>
<div class="line"><a id="l00053" name="l00053"></a><span class="lineno">   53</span><span class="comment">/// \ingroup multidirect</span></div>
<div class="foldopen" id="foldopen00054" data-start="{" data-end="};">
<div class="line"><a id="l00054" name="l00054"></a><span class="lineno"><a class="line" href="classshark_1_1_r_v_e_a.html">   54</a></span><span class="comment"></span><span class="keyword">class </span><a class="code hl_class" href="classshark_1_1_r_v_e_a.html" title="Implements the RVEA algorithm.">RVEA</a> : <span class="keyword">public</span> <a class="code hl_class" href="classshark_1_1_abstract_multi_objective_optimizer.html" title="base class for abstract multi-objective optimizers for arbitrary search spaces.">AbstractMultiObjectiveOptimizer</a>&lt;RealVector&gt;</div>
<div class="line"><a id="l00055" name="l00055"></a><span class="lineno">   55</span>{</div>
<div class="line"><a id="l00056" name="l00056"></a><span class="lineno">   56</span><span class="keyword">public</span>:</div>
<div class="line"><a id="l00057" name="l00057"></a><span class="lineno"><a class="line" href="classshark_1_1_r_v_e_a.html#aea4a153e99eb52eb6e946d5b1da4e275">   57</a></span>    <a class="code hl_define" href="_d_l_l_support_8h.html#a54b73283f7f70b27fbd8ac5d4621827f" title="Defines SHARK_COMPILE_DLL.">SHARK_EXPORT_SYMBOL</a> <a class="code hl_function" href="classshark_1_1_r_v_e_a.html#aea4a153e99eb52eb6e946d5b1da4e275">RVEA</a>(random::rng_type &amp; rng = <a class="code hl_variable" href="namespaceshark_1_1random.html#ab5c1547eee483974d008d43f621a2234">random::globalRng</a>);</div>
<div class="line"><a id="l00058" name="l00058"></a><span class="lineno">   58</span> </div>
<div class="foldopen" id="foldopen00059" data-start="{" data-end="}">
<div class="line"><a id="l00059" name="l00059"></a><span class="lineno"><a class="line" href="classshark_1_1_r_v_e_a.html#a570e039a9773303f3cdc304079391b9e">   59</a></span>    std::string <a class="code hl_function" href="classshark_1_1_r_v_e_a.html#a570e039a9773303f3cdc304079391b9e" title="returns the name of the object">name</a>()<span class="keyword"> const</span>{</div>
<div class="line"><a id="l00060" name="l00060"></a><span class="lineno">   60</span>        <span class="keywordflow">return</span> <span class="stringliteral">&quot;RVEA&quot;</span>;</div>
<div class="line"><a id="l00061" name="l00061"></a><span class="lineno">   61</span>    }</div>
</div>
<div class="line"><a id="l00062" name="l00062"></a><span class="lineno">   62</span> </div>
<div class="foldopen" id="foldopen00063" data-start="{" data-end="}">
<div class="line"><a id="l00063" name="l00063"></a><span class="lineno"><a class="line" href="classshark_1_1_r_v_e_a.html#a24e4f06d4e80c60c5d5c808aca9441c5">   63</a></span>    <span class="keywordtype">double</span> <a class="code hl_function" href="classshark_1_1_r_v_e_a.html#a24e4f06d4e80c60c5d5c808aca9441c5">crossoverProbability</a>()<span class="keyword"> const</span>{</div>
<div class="line"><a id="l00064" name="l00064"></a><span class="lineno">   64</span>        <span class="keywordflow">return</span> m_crossoverProbability;</div>
<div class="line"><a id="l00065" name="l00065"></a><span class="lineno">   65</span>    }</div>
</div>
<div class="line"><a id="l00066" name="l00066"></a><span class="lineno">   66</span> </div>
<div class="foldopen" id="foldopen00067" data-start="{" data-end="}">
<div class="line"><a id="l00067" name="l00067"></a><span class="lineno"><a class="line" href="classshark_1_1_r_v_e_a.html#ad1fe73b971a02a75b1e0e1b69122840e">   67</a></span>    <span class="keywordtype">double</span> &amp; <a class="code hl_function" href="classshark_1_1_r_v_e_a.html#ad1fe73b971a02a75b1e0e1b69122840e">crossoverProbability</a>(){</div>
<div class="line"><a id="l00068" name="l00068"></a><span class="lineno">   68</span>        <span class="keywordflow">return</span> m_crossoverProbability;</div>
<div class="line"><a id="l00069" name="l00069"></a><span class="lineno">   69</span>    }</div>
</div>
<div class="line"><a id="l00070" name="l00070"></a><span class="lineno">   70</span> </div>
<div class="foldopen" id="foldopen00071" data-start="{" data-end="}">
<div class="line"><a id="l00071" name="l00071"></a><span class="lineno"><a class="line" href="classshark_1_1_r_v_e_a.html#a42f756cb121540d3e27477024f7b45d9">   71</a></span>    <span class="keywordtype">double</span> <a class="code hl_function" href="classshark_1_1_r_v_e_a.html#a42f756cb121540d3e27477024f7b45d9">nm</a>()<span class="keyword"> const</span>{</div>
<div class="line"><a id="l00072" name="l00072"></a><span class="lineno">   72</span>        <span class="keywordflow">return</span> m_mutation.<a class="code hl_variable" href="structshark_1_1_polynomial_mutator.html#ab716ed21beacc4501deaadeca839819a">m_nm</a>;</div>
<div class="line"><a id="l00073" name="l00073"></a><span class="lineno">   73</span>    }</div>
</div>
<div class="line"><a id="l00074" name="l00074"></a><span class="lineno">   74</span> </div>
<div class="foldopen" id="foldopen00075" data-start="{" data-end="}">
<div class="line"><a id="l00075" name="l00075"></a><span class="lineno"><a class="line" href="classshark_1_1_r_v_e_a.html#ab49d472bdceb49c60152a7c6f5d03997">   75</a></span>    <span class="keywordtype">double</span> &amp; <a class="code hl_function" href="classshark_1_1_r_v_e_a.html#ab49d472bdceb49c60152a7c6f5d03997">nm</a>(){</div>
<div class="line"><a id="l00076" name="l00076"></a><span class="lineno">   76</span>        <span class="keywordflow">return</span> m_mutation.<a class="code hl_variable" href="structshark_1_1_polynomial_mutator.html#ab716ed21beacc4501deaadeca839819a">m_nm</a>;</div>
<div class="line"><a id="l00077" name="l00077"></a><span class="lineno">   77</span>    }</div>
</div>
<div class="line"><a id="l00078" name="l00078"></a><span class="lineno">   78</span> </div>
<div class="foldopen" id="foldopen00079" data-start="{" data-end="}">
<div class="line"><a id="l00079" name="l00079"></a><span class="lineno"><a class="line" href="classshark_1_1_r_v_e_a.html#a12f8457c3d88a53c10d7963a2c821e5f">   79</a></span>    <span class="keywordtype">double</span> <a class="code hl_function" href="classshark_1_1_r_v_e_a.html#a12f8457c3d88a53c10d7963a2c821e5f">nc</a>()<span class="keyword"> const</span>{</div>
<div class="line"><a id="l00080" name="l00080"></a><span class="lineno">   80</span>        <span class="keywordflow">return</span> m_crossover.<a class="code hl_variable" href="structshark_1_1_simulated_binary_crossover.html#a9527780aa1750e443053a5d982ae7f13" title="Parameter nc.">m_nc</a>;</div>
<div class="line"><a id="l00081" name="l00081"></a><span class="lineno">   81</span>    }</div>
</div>
<div class="line"><a id="l00082" name="l00082"></a><span class="lineno">   82</span> </div>
<div class="foldopen" id="foldopen00083" data-start="{" data-end="}">
<div class="line"><a id="l00083" name="l00083"></a><span class="lineno"><a class="line" href="classshark_1_1_r_v_e_a.html#aee88e78568e6910fa173c7544139c3e0">   83</a></span>    <span class="keywordtype">double</span> &amp; <a class="code hl_function" href="classshark_1_1_r_v_e_a.html#aee88e78568e6910fa173c7544139c3e0">nc</a>(){</div>
<div class="line"><a id="l00084" name="l00084"></a><span class="lineno">   84</span>        <span class="keywordflow">return</span> m_crossover.<a class="code hl_variable" href="structshark_1_1_simulated_binary_crossover.html#a9527780aa1750e443053a5d982ae7f13" title="Parameter nc.">m_nc</a>;</div>
<div class="line"><a id="l00085" name="l00085"></a><span class="lineno">   85</span>    }</div>
</div>
<div class="line"><a id="l00086" name="l00086"></a><span class="lineno">   86</span> </div>
<div class="foldopen" id="foldopen00087" data-start="{" data-end="}">
<div class="line"><a id="l00087" name="l00087"></a><span class="lineno"><a class="line" href="classshark_1_1_r_v_e_a.html#a8c6b046bd8c02578d5d6e07510997806">   87</a></span>    <span class="keywordtype">double</span> <a class="code hl_function" href="classshark_1_1_r_v_e_a.html#a8c6b046bd8c02578d5d6e07510997806">alpha</a>()<span class="keyword"> const</span>{</div>
<div class="line"><a id="l00088" name="l00088"></a><span class="lineno">   88</span>        <span class="keywordflow">return</span> m_selection.m_alpha;</div>
<div class="line"><a id="l00089" name="l00089"></a><span class="lineno">   89</span>    }</div>
</div>
<div class="line"><a id="l00090" name="l00090"></a><span class="lineno">   90</span> </div>
<div class="foldopen" id="foldopen00091" data-start="{" data-end="}">
<div class="line"><a id="l00091" name="l00091"></a><span class="lineno"><a class="line" href="classshark_1_1_r_v_e_a.html#a43bf95140c67223db83e817836dbeeaf">   91</a></span>    <span class="keywordtype">double</span> &amp; <a class="code hl_function" href="classshark_1_1_r_v_e_a.html#a43bf95140c67223db83e817836dbeeaf">alpha</a>(){</div>
<div class="line"><a id="l00092" name="l00092"></a><span class="lineno">   92</span>        <span class="keywordflow">return</span> m_selection.m_alpha;</div>
<div class="line"><a id="l00093" name="l00093"></a><span class="lineno">   93</span>    }</div>
</div>
<div class="line"><a id="l00094" name="l00094"></a><span class="lineno">   94</span> </div>
<div class="foldopen" id="foldopen00095" data-start="{" data-end="}">
<div class="line"><a id="l00095" name="l00095"></a><span class="lineno"><a class="line" href="classshark_1_1_r_v_e_a.html#af69164a51c9b14e1bd54c811f0f48134">   95</a></span>    <span class="keywordtype">double</span> <a class="code hl_function" href="classshark_1_1_r_v_e_a.html#af69164a51c9b14e1bd54c811f0f48134">adaptationFrequency</a>()<span class="keyword"> const</span>{</div>
<div class="line"><a id="l00096" name="l00096"></a><span class="lineno">   96</span>        <span class="keywordflow">return</span> m_adaptParam;</div>
<div class="line"><a id="l00097" name="l00097"></a><span class="lineno">   97</span>    }</div>
</div>
<div class="line"><a id="l00098" name="l00098"></a><span class="lineno">   98</span> </div>
<div class="foldopen" id="foldopen00099" data-start="{" data-end="}">
<div class="line"><a id="l00099" name="l00099"></a><span class="lineno"><a class="line" href="classshark_1_1_r_v_e_a.html#ae71f7617631fda1e9ba305a82773057c">   99</a></span>    <span class="keywordtype">double</span> &amp; <a class="code hl_function" href="classshark_1_1_r_v_e_a.html#ae71f7617631fda1e9ba305a82773057c">adaptationFrequency</a>(){</div>
<div class="line"><a id="l00100" name="l00100"></a><span class="lineno">  100</span>        <span class="keywordflow">return</span> m_adaptParam;</div>
<div class="line"><a id="l00101" name="l00101"></a><span class="lineno">  101</span>    }</div>
</div>
<div class="line"><a id="l00102" name="l00102"></a><span class="lineno">  102</span><span class="comment"></span> </div>
<div class="line"><a id="l00103" name="l00103"></a><span class="lineno">  103</span><span class="comment">    /// \brief Size of parent population and number of reference vectors.</span></div>
<div class="line"><a id="l00104" name="l00104"></a><span class="lineno">  104</span><span class="comment">    ///</span></div>
<div class="line"><a id="l00105" name="l00105"></a><span class="lineno">  105</span><span class="comment">    /// In the RVEA algorithm, the exact mu value is determined by the</span></div>
<div class="line"><a id="l00106" name="l00106"></a><span class="lineno">  106</span><span class="comment">    /// simplex-lattice design (Lattice.h), so the user cannot set it directly.</span></div>
<div class="line"><a id="l00107" name="l00107"></a><span class="lineno">  107</span><span class="comment">    /// Instead, one must set the approxMu() value, which will be used as a</span></div>
<div class="line"><a id="l00108" name="l00108"></a><span class="lineno">  108</span><span class="comment">    /// parameter in the lattice.  If one wants to know the exact mu value, set</span></div>
<div class="line"><a id="l00109" name="l00109"></a><span class="lineno">  109</span><span class="comment">    /// approxMu() to RVEA::suggestMu(n, m) where n is the objective dimension</span></div>
<div class="line"><a id="l00110" name="l00110"></a><span class="lineno">  110</span><span class="comment">    /// and m is the approximate mu.  Then the actual mu value will not be</span></div>
<div class="line"><a id="l00111" name="l00111"></a><span class="lineno">  111</span><span class="comment">    /// changed in the initialization.</span></div>
<div class="foldopen" id="foldopen00112" data-start="{" data-end="}">
<div class="line"><a id="l00112" name="l00112"></a><span class="lineno"><a class="line" href="classshark_1_1_r_v_e_a.html#ae55c14d099207526073282c311362554">  112</a></span><span class="comment"></span>    std::size_t <a class="code hl_function" href="classshark_1_1_r_v_e_a.html#ae55c14d099207526073282c311362554" title="Size of parent population and number of reference vectors.">mu</a>()<span class="keyword"> const</span>{</div>
<div class="line"><a id="l00113" name="l00113"></a><span class="lineno">  113</span>        <span class="keywordflow">return</span> m_mu;</div>
<div class="line"><a id="l00114" name="l00114"></a><span class="lineno">  114</span>    }</div>
</div>
<div class="line"><a id="l00115" name="l00115"></a><span class="lineno">  115</span>    </div>
<div class="foldopen" id="foldopen00116" data-start="{" data-end="}">
<div class="line"><a id="l00116" name="l00116"></a><span class="lineno"><a class="line" href="classshark_1_1_r_v_e_a.html#aa89e84602ca691bf124a6fcaaf9869f4">  116</a></span>    std::size_t <a class="code hl_function" href="classshark_1_1_r_v_e_a.html#aa89e84602ca691bf124a6fcaaf9869f4" title="Returns the number of points this method requires for initialisation.">numInitPoints</a>()<span class="keyword"> const</span>{</div>
<div class="line"><a id="l00117" name="l00117"></a><span class="lineno">  117</span>        <span class="keywordflow">return</span> m_mu;</div>
<div class="line"><a id="l00118" name="l00118"></a><span class="lineno">  118</span>    }</div>
</div>
<div class="line"><a id="l00119" name="l00119"></a><span class="lineno">  119</span> </div>
<div class="foldopen" id="foldopen00120" data-start="{" data-end="}">
<div class="line"><a id="l00120" name="l00120"></a><span class="lineno"><a class="line" href="classshark_1_1_r_v_e_a.html#af00048a74be3db8fb273ba0cfb01de6a">  120</a></span>    std::size_t <a class="code hl_function" href="classshark_1_1_r_v_e_a.html#af00048a74be3db8fb273ba0cfb01de6a">approxMu</a>()<span class="keyword"> const</span>{</div>
<div class="line"><a id="l00121" name="l00121"></a><span class="lineno">  121</span>        <span class="keywordflow">return</span> m_approxMu;</div>
<div class="line"><a id="l00122" name="l00122"></a><span class="lineno">  122</span>    }</div>
</div>
<div class="line"><a id="l00123" name="l00123"></a><span class="lineno">  123</span> </div>
<div class="foldopen" id="foldopen00124" data-start="{" data-end="}">
<div class="line"><a id="l00124" name="l00124"></a><span class="lineno"><a class="line" href="classshark_1_1_r_v_e_a.html#aa31d0522f1f071bf46c936e674ac973a">  124</a></span>    std::size_t &amp; <a class="code hl_function" href="classshark_1_1_r_v_e_a.html#aa31d0522f1f071bf46c936e674ac973a">approxMu</a>(){</div>
<div class="line"><a id="l00125" name="l00125"></a><span class="lineno">  125</span>        <span class="keywordflow">return</span> m_approxMu;</div>
<div class="line"><a id="l00126" name="l00126"></a><span class="lineno">  126</span>    }</div>
</div>
<div class="line"><a id="l00127" name="l00127"></a><span class="lineno">  127</span> </div>
<div class="foldopen" id="foldopen00128" data-start="{" data-end="}">
<div class="line"><a id="l00128" name="l00128"></a><span class="lineno"><a class="line" href="classshark_1_1_r_v_e_a.html#ac8650000c2627c4324370f222ee454eb">  128</a></span>    RealMatrix <a class="code hl_function" href="classshark_1_1_r_v_e_a.html#ac8650000c2627c4324370f222ee454eb">referenceVectors</a>()<span class="keyword"> const</span>{</div>
<div class="line"><a id="l00129" name="l00129"></a><span class="lineno">  129</span>        <span class="keywordflow">return</span> m_referenceVectors;</div>
<div class="line"><a id="l00130" name="l00130"></a><span class="lineno">  130</span>    }</div>
</div>
<div class="line"><a id="l00131" name="l00131"></a><span class="lineno">  131</span> </div>
<div class="foldopen" id="foldopen00132" data-start="{" data-end="}">
<div class="line"><a id="l00132" name="l00132"></a><span class="lineno"><a class="line" href="classshark_1_1_r_v_e_a.html#ab4a73eef984968711dd3509275a407fb">  132</a></span>    RealMatrix &amp; <a class="code hl_function" href="classshark_1_1_r_v_e_a.html#ab4a73eef984968711dd3509275a407fb">referenceVectors</a>(){</div>
<div class="line"><a id="l00133" name="l00133"></a><span class="lineno">  133</span>        <span class="keywordflow">return</span> m_referenceVectors;</div>
<div class="line"><a id="l00134" name="l00134"></a><span class="lineno">  134</span>    }</div>
</div>
<div class="line"><a id="l00135" name="l00135"></a><span class="lineno">  135</span> </div>
<div class="foldopen" id="foldopen00136" data-start="{" data-end="}">
<div class="line"><a id="l00136" name="l00136"></a><span class="lineno"><a class="line" href="classshark_1_1_r_v_e_a.html#ac1a96c7b2280d8e8be432b9bc45edab5">  136</a></span>    RealMatrix <a class="code hl_function" href="classshark_1_1_r_v_e_a.html#ac1a96c7b2280d8e8be432b9bc45edab5">initialReferenceVectors</a>()<span class="keyword"> const</span>{</div>
<div class="line"><a id="l00137" name="l00137"></a><span class="lineno">  137</span>        <span class="keywordflow">return</span> m_adaptation.m_initVecs;</div>
<div class="line"><a id="l00138" name="l00138"></a><span class="lineno">  138</span>    }</div>
</div>
<div class="line"><a id="l00139" name="l00139"></a><span class="lineno">  139</span> </div>
<div class="foldopen" id="foldopen00140" data-start="{" data-end="}">
<div class="line"><a id="l00140" name="l00140"></a><span class="lineno"><a class="line" href="classshark_1_1_r_v_e_a.html#a7c15e038ac3d45a47426859f9e0c5f40">  140</a></span>    std::size_t <a class="code hl_function" href="classshark_1_1_r_v_e_a.html#a7c15e038ac3d45a47426859f9e0c5f40">maxIterations</a>()<span class="keyword"> const</span>{</div>
<div class="line"><a id="l00141" name="l00141"></a><span class="lineno">  141</span>        <span class="keywordflow">return</span> m_selection.m_maxIters;</div>
<div class="line"><a id="l00142" name="l00142"></a><span class="lineno">  142</span>    }</div>
</div>
<div class="line"><a id="l00143" name="l00143"></a><span class="lineno">  143</span> </div>
<div class="foldopen" id="foldopen00144" data-start="{" data-end="}">
<div class="line"><a id="l00144" name="l00144"></a><span class="lineno"><a class="line" href="classshark_1_1_r_v_e_a.html#af984012d53a8f9eeba518375d4fc9b24">  144</a></span>    std::size_t &amp; <a class="code hl_function" href="classshark_1_1_r_v_e_a.html#af984012d53a8f9eeba518375d4fc9b24">maxIterations</a>(){</div>
<div class="line"><a id="l00145" name="l00145"></a><span class="lineno">  145</span>        <span class="keywordflow">return</span> m_selection.m_maxIters;</div>
<div class="line"><a id="l00146" name="l00146"></a><span class="lineno">  146</span>    }</div>
</div>
<div class="line"><a id="l00147" name="l00147"></a><span class="lineno">  147</span><span class="comment"></span> </div>
<div class="line"><a id="l00148" name="l00148"></a><span class="lineno">  148</span><span class="comment">    /// \brief True if the reference vectors will be adapted.</span></div>
<div class="line"><a id="l00149" name="l00149"></a><span class="lineno">  149</span><span class="comment">    ///</span></div>
<div class="line"><a id="l00150" name="l00150"></a><span class="lineno">  150</span><span class="comment">    /// Returns true if the algorithm will adapt the unit reference vectors in</span></div>
<div class="line"><a id="l00151" name="l00151"></a><span class="lineno">  151</span><span class="comment">    /// the current iteration.  This is controlled by the adaptationFreqency()</span></div>
<div class="line"><a id="l00152" name="l00152"></a><span class="lineno">  152</span><span class="comment">    /// parameter; a value of, e.g., 0.2 will make the algorithm readapt</span></div>
<div class="line"><a id="l00153" name="l00153"></a><span class="lineno">  153</span><span class="comment">    /// reference vectors every 20% of the iteration. Running the algorithm for</span></div>
<div class="line"><a id="l00154" name="l00154"></a><span class="lineno">  154</span><span class="comment">    /// 1000 iterations will then make it readapt on iteration 0, 200, 400, etc.</span></div>
<div class="foldopen" id="foldopen00155" data-start="{" data-end="}">
<div class="line"><a id="l00155" name="l00155"></a><span class="lineno"><a class="line" href="classshark_1_1_r_v_e_a.html#aaa84d48241b320888745cfc4eb5ed668">  155</a></span><span class="comment"></span>    <span class="keywordtype">bool</span> <a class="code hl_function" href="classshark_1_1_r_v_e_a.html#aaa84d48241b320888745cfc4eb5ed668" title="True if the reference vectors will be adapted.">willAdaptReferenceVectors</a>()<span class="keyword"> const</span>{</div>
<div class="line"><a id="l00156" name="l00156"></a><span class="lineno">  156</span>        <span class="keywordflow">return</span> m_curIteration % <span class="keyword">static_cast&lt;</span>std::size_t<span class="keyword">&gt;</span>(</div>
<div class="line"><a id="l00157" name="l00157"></a><span class="lineno">  157</span>            std::ceil(<a class="code hl_function" href="classshark_1_1_r_v_e_a.html#af69164a51c9b14e1bd54c811f0f48134">adaptationFrequency</a>() * m_selection.m_maxIters)</div>
<div class="line"><a id="l00158" name="l00158"></a><span class="lineno">  158</span>            ) == 0;</div>
<div class="line"><a id="l00159" name="l00159"></a><span class="lineno">  159</span>    }</div>
</div>
<div class="line"><a id="l00160" name="l00160"></a><span class="lineno">  160</span> </div>
<div class="line"><a id="l00161" name="l00161"></a><span class="lineno">  161</span>    <span class="keyword">template</span> &lt;<span class="keyword">typename</span> Archive&gt;</div>
<div class="foldopen" id="foldopen00162" data-start="{" data-end="}">
<div class="line"><a id="l00162" name="l00162"></a><span class="lineno"><a class="line" href="classshark_1_1_r_v_e_a.html#aa2a3484f54c7c2d46331bd19c3f8c53e">  162</a></span>    <span class="keywordtype">void</span> <a class="code hl_function" href="classshark_1_1_r_v_e_a.html#aa2a3484f54c7c2d46331bd19c3f8c53e">serialize</a>(Archive &amp; archive){</div>
<div class="line"><a id="l00163" name="l00163"></a><span class="lineno">  163</span><span class="preprocessor">#define S(var) archive &amp; BOOST_SERIALIZATION_NVP(var)</span></div>
<div class="line"><a id="l00164" name="l00164"></a><span class="lineno">  164</span>        <a class="code hl_define" href="_r_v_e_a_8h.html#a9d2dc49fb253b5729d15f1cba751ed76">S</a>(m_crossoverProbability);</div>
<div class="line"><a id="l00165" name="l00165"></a><span class="lineno">  165</span>        <a class="code hl_define" href="_r_v_e_a_8h.html#a9d2dc49fb253b5729d15f1cba751ed76">S</a>(m_mu);</div>
<div class="line"><a id="l00166" name="l00166"></a><span class="lineno">  166</span>        <a class="code hl_define" href="_r_v_e_a_8h.html#a9d2dc49fb253b5729d15f1cba751ed76">S</a>(m_approxMu);</div>
<div class="line"><a id="l00167" name="l00167"></a><span class="lineno">  167</span>        <a class="code hl_define" href="_r_v_e_a_8h.html#a9d2dc49fb253b5729d15f1cba751ed76">S</a>(<a class="code hl_variable" href="classshark_1_1_r_v_e_a.html#add1ca1a478b3054ee37237d65dbf0933">m_parents</a>);</div>
<div class="line"><a id="l00168" name="l00168"></a><span class="lineno">  168</span>        <a class="code hl_define" href="_r_v_e_a_8h.html#a9d2dc49fb253b5729d15f1cba751ed76">S</a>(<a class="code hl_variable" href="classshark_1_1_abstract_multi_objective_optimizer.html#ac4e394bda4b2442031f851c742a83eaa" title="The current Pareto-set/-front.">m_best</a>);</div>
<div class="line"><a id="l00169" name="l00169"></a><span class="lineno">  169</span>        <a class="code hl_define" href="_r_v_e_a_8h.html#a9d2dc49fb253b5729d15f1cba751ed76">S</a>(m_crossover);</div>
<div class="line"><a id="l00170" name="l00170"></a><span class="lineno">  170</span>        <a class="code hl_define" href="_r_v_e_a_8h.html#a9d2dc49fb253b5729d15f1cba751ed76">S</a>(m_mutation);</div>
<div class="line"><a id="l00171" name="l00171"></a><span class="lineno">  171</span>        <a class="code hl_define" href="_r_v_e_a_8h.html#a9d2dc49fb253b5729d15f1cba751ed76">S</a>(m_adaptParam);</div>
<div class="line"><a id="l00172" name="l00172"></a><span class="lineno">  172</span>        <a class="code hl_define" href="_r_v_e_a_8h.html#a9d2dc49fb253b5729d15f1cba751ed76">S</a>(m_curIteration);</div>
<div class="line"><a id="l00173" name="l00173"></a><span class="lineno">  173</span>        <a class="code hl_define" href="_r_v_e_a_8h.html#a9d2dc49fb253b5729d15f1cba751ed76">S</a>(m_referenceVectors);</div>
<div class="line"><a id="l00174" name="l00174"></a><span class="lineno">  174</span>        <a class="code hl_define" href="_r_v_e_a_8h.html#a9d2dc49fb253b5729d15f1cba751ed76">S</a>(m_referenceVectorMinAngles);</div>
<div class="line"><a id="l00175" name="l00175"></a><span class="lineno">  175</span>        <a class="code hl_define" href="_r_v_e_a_8h.html#a9d2dc49fb253b5729d15f1cba751ed76">S</a>(m_selection);</div>
<div class="line"><a id="l00176" name="l00176"></a><span class="lineno">  176</span>        <a class="code hl_define" href="_r_v_e_a_8h.html#a9d2dc49fb253b5729d15f1cba751ed76">S</a>(m_adaptation);</div>
<div class="line"><a id="l00177" name="l00177"></a><span class="lineno">  177</span><span class="preprocessor">#undef S</span></div>
<div class="line"><a id="l00178" name="l00178"></a><span class="lineno">  178</span>    }</div>
</div>
<div class="line"><a id="l00179" name="l00179"></a><span class="lineno">  179</span> </div>
<div class="line"><a id="l00180" name="l00180"></a><span class="lineno">  180</span>    <span class="keyword">using </span><a class="code hl_class" href="classshark_1_1_abstract_multi_objective_optimizer.html" title="base class for abstract multi-objective optimizers for arbitrary search spaces.">AbstractMultiObjectiveOptimizer</a>&lt;RealVector &gt;<a class="code hl_function" href="classshark_1_1_r_v_e_a.html#a7f3c0738f3f6ef3501ea9554ab5829cf">::init</a>;</div>
<div class="line"><a id="l00181" name="l00181"></a><span class="lineno"><a class="line" href="classshark_1_1_r_v_e_a.html#a7f3c0738f3f6ef3501ea9554ab5829cf">  181</a></span>    <a class="code hl_define" href="_d_l_l_support_8h.html#a54b73283f7f70b27fbd8ac5d4621827f" title="Defines SHARK_COMPILE_DLL.">SHARK_EXPORT_SYMBOL</a> <span class="keywordtype">void</span> <a class="code hl_function" href="classshark_1_1_r_v_e_a.html#a7f3c0738f3f6ef3501ea9554ab5829cf">init</a>(</div>
<div class="line"><a id="l00182" name="l00182"></a><span class="lineno">  182</span>        <a class="code hl_class" href="classshark_1_1_abstract_objective_function.html" title="Super class of all objective functions for optimization and learning.">ObjectiveFunctionType</a> <span class="keyword">const</span>&amp; function,</div>
<div class="line"><a id="l00183" name="l00183"></a><span class="lineno">  183</span>        std::vector&lt;SearchPointType&gt; <span class="keyword">const</span> &amp; initialSearchPoints</div>
<div class="line"><a id="l00184" name="l00184"></a><span class="lineno">  184</span>    );</div>
<div class="line"><a id="l00185" name="l00185"></a><span class="lineno"><a class="line" href="classshark_1_1_r_v_e_a.html#ad62e938861ebc6b6e0749775e67c8b54">  185</a></span>    <a class="code hl_define" href="_d_l_l_support_8h.html#a54b73283f7f70b27fbd8ac5d4621827f" title="Defines SHARK_COMPILE_DLL.">SHARK_EXPORT_SYMBOL</a> <span class="keywordtype">void</span> <a class="code hl_function" href="classshark_1_1_r_v_e_a.html#ad62e938861ebc6b6e0749775e67c8b54">step</a>(</div>
<div class="line"><a id="l00186" name="l00186"></a><span class="lineno">  186</span>        <a class="code hl_class" href="classshark_1_1_abstract_objective_function.html" title="Super class of all objective functions for optimization and learning.">ObjectiveFunctionType</a> <span class="keyword">const</span> &amp; function</div>
<div class="line"><a id="l00187" name="l00187"></a><span class="lineno">  187</span>    );</div>
<div class="line"><a id="l00188" name="l00188"></a><span class="lineno"><a class="line" href="classshark_1_1_r_v_e_a.html#af24f818da10910dabfbbb1028df31bbb">  188</a></span>    <a class="code hl_define" href="_d_l_l_support_8h.html#a54b73283f7f70b27fbd8ac5d4621827f" title="Defines SHARK_COMPILE_DLL.">SHARK_EXPORT_SYMBOL</a> <span class="keyword">static</span> std::size_t <a class="code hl_function" href="classshark_1_1_r_v_e_a.html#af24f818da10910dabfbbb1028df31bbb">suggestMu</a>(</div>
<div class="line"><a id="l00189" name="l00189"></a><span class="lineno">  189</span>        std::size_t n, std::size_t <span class="keyword">const</span> approx_mu);</div>
<div class="line"><a id="l00190" name="l00190"></a><span class="lineno">  190</span><span class="keyword">protected</span>:</div>
<div class="line"><a id="l00191" name="l00191"></a><span class="lineno"><a class="line" href="classshark_1_1_r_v_e_a.html#a8bb1e998e00dd942159e31a2a9381198">  191</a></span>    <span class="keyword">typedef</span> <a class="code hl_class" href="classshark_1_1_individual.html" title="Individual is a simple templated class modelling an individual that acts as a candidate solution in a...">shark::Individual&lt;RealVector, RealVector&gt;</a> <a class="code hl_typedef" href="classshark_1_1_r_v_e_a.html#a8bb1e998e00dd942159e31a2a9381198">IndividualType</a>;</div>
<div class="line"><a id="l00192" name="l00192"></a><span class="lineno"><a class="line" href="classshark_1_1_r_v_e_a.html#a4630d1d33af282abfd60b6a8e14b839e">  192</a></span>    <a class="code hl_define" href="_d_l_l_support_8h.html#a54b73283f7f70b27fbd8ac5d4621827f" title="Defines SHARK_COMPILE_DLL.">SHARK_EXPORT_SYMBOL</a> <span class="keywordtype">void</span> <a class="code hl_function" href="classshark_1_1_r_v_e_a.html#a4630d1d33af282abfd60b6a8e14b839e">doInit</a>(</div>
<div class="line"><a id="l00193" name="l00193"></a><span class="lineno">  193</span>        std::vector&lt;SearchPointType&gt; <span class="keyword">const</span> &amp; initialSearchPoints,</div>
<div class="line"><a id="l00194" name="l00194"></a><span class="lineno">  194</span>        std::vector&lt;ResultType&gt; <span class="keyword">const</span> &amp; functionValues,</div>
<div class="line"><a id="l00195" name="l00195"></a><span class="lineno">  195</span>        RealVector <span class="keyword">const</span> &amp; lowerBounds,</div>
<div class="line"><a id="l00196" name="l00196"></a><span class="lineno">  196</span>        RealVector <span class="keyword">const</span> &amp; upperBounds,</div>
<div class="line"><a id="l00197" name="l00197"></a><span class="lineno">  197</span>        std::size_t <span class="keyword">const</span> approx_mu,</div>
<div class="line"><a id="l00198" name="l00198"></a><span class="lineno">  198</span>        <span class="keywordtype">double</span> <span class="keyword">const</span> <a class="code hl_function" href="classshark_1_1_r_v_e_a.html#a42f756cb121540d3e27477024f7b45d9">nm</a>,</div>
<div class="line"><a id="l00199" name="l00199"></a><span class="lineno">  199</span>        <span class="keywordtype">double</span> <span class="keyword">const</span> <a class="code hl_function" href="classshark_1_1_r_v_e_a.html#a12f8457c3d88a53c10d7963a2c821e5f">nc</a>,</div>
<div class="line"><a id="l00200" name="l00200"></a><span class="lineno">  200</span>        <span class="keywordtype">double</span> <span class="keyword">const</span> crossover_prob,</div>
<div class="line"><a id="l00201" name="l00201"></a><span class="lineno">  201</span>        <span class="keywordtype">double</span> <span class="keyword">const</span> alph,</div>
<div class="line"><a id="l00202" name="l00202"></a><span class="lineno">  202</span>        <span class="keywordtype">double</span> <span class="keyword">const</span> fr,</div>
<div class="line"><a id="l00203" name="l00203"></a><span class="lineno">  203</span>        std::size_t <span class="keyword">const</span> max_iterations,</div>
<div class="line"><a id="l00204" name="l00204"></a><span class="lineno">  204</span>        std::vector&lt;Preference&gt; <span class="keyword">const</span> &amp; referenceVectorsPreferences = std::vector&lt;Preference&gt;()</div>
<div class="line"><a id="l00205" name="l00205"></a><span class="lineno">  205</span>    );</div>
<div class="line"><a id="l00206" name="l00206"></a><span class="lineno">  206</span> </div>
<div class="line"><a id="l00207" name="l00207"></a><span class="lineno"><a class="line" href="classshark_1_1_r_v_e_a.html#a31e0f61704214e7183f04d824b21ddf1">  207</a></span>    <a class="code hl_define" href="_d_l_l_support_8h.html#a54b73283f7f70b27fbd8ac5d4621827f" title="Defines SHARK_COMPILE_DLL.">SHARK_EXPORT_SYMBOL</a> std::vector&lt;IndividualType&gt; <a class="code hl_function" href="classshark_1_1_r_v_e_a.html#a31e0f61704214e7183f04d824b21ddf1">generateOffspring</a>() <span class="keyword">const</span>;</div>
<div class="line"><a id="l00208" name="l00208"></a><span class="lineno"><a class="line" href="classshark_1_1_r_v_e_a.html#a422bdd1e5027703a8b672b3044076c55">  208</a></span>    <a class="code hl_define" href="_d_l_l_support_8h.html#a54b73283f7f70b27fbd8ac5d4621827f" title="Defines SHARK_COMPILE_DLL.">SHARK_EXPORT_SYMBOL</a> <span class="keywordtype">void</span> <a class="code hl_function" href="classshark_1_1_r_v_e_a.html#a422bdd1e5027703a8b672b3044076c55">updatePopulation</a>(</div>
<div class="line"><a id="l00209" name="l00209"></a><span class="lineno">  209</span>        std::vector&lt;IndividualType&gt; <span class="keyword">const</span> &amp; offspringvec</div>
<div class="line"><a id="l00210" name="l00210"></a><span class="lineno">  210</span>    );</div>
<div class="line"><a id="l00211" name="l00211"></a><span class="lineno">  211</span> </div>
<div class="line"><a id="l00212" name="l00212"></a><span class="lineno"><a class="line" href="classshark_1_1_r_v_e_a.html#add1ca1a478b3054ee37237d65dbf0933">  212</a></span>    std::vector&lt;IndividualType&gt; <a class="code hl_variable" href="classshark_1_1_r_v_e_a.html#add1ca1a478b3054ee37237d65dbf0933">m_parents</a>;</div>
<div class="line"><a id="l00213" name="l00213"></a><span class="lineno">  213</span> </div>
<div class="line"><a id="l00214" name="l00214"></a><span class="lineno">  214</span><span class="keyword">private</span>:</div>
<div class="line"><a id="l00215" name="l00215"></a><span class="lineno">  215</span>    random::rng_type * m_rng;</div>
<div class="line"><a id="l00216" name="l00216"></a><span class="lineno">  216</span>    <span class="keywordtype">double</span> m_crossoverProbability; <span class="comment">///&lt; Probability of crossover happening.</span><span class="comment"></span></div>
<div class="line"><a id="l00217" name="l00217"></a><span class="lineno">  217</span><span class="comment">    /// \brief Size of parent population</span></div>
<div class="line"><a id="l00218" name="l00218"></a><span class="lineno">  218</span><span class="comment">    ///</span></div>
<div class="line"><a id="l00219" name="l00219"></a><span class="lineno">  219</span><span class="comment">    /// It is also the number of reference vectors.</span></div>
<div class="line"><a id="l00220" name="l00220"></a><span class="lineno">  220</span><span class="comment"></span>    std::size_t m_mu;<span class="comment"></span></div>
<div class="line"><a id="l00221" name="l00221"></a><span class="lineno">  221</span><span class="comment">    /// \brief The &quot;approximate&quot; value of mu that the user asked for.</span></div>
<div class="line"><a id="l00222" name="l00222"></a><span class="lineno">  222</span><span class="comment">    ///</span></div>
<div class="line"><a id="l00223" name="l00223"></a><span class="lineno">  223</span><span class="comment">    /// The actual value of mu is determined via the simplex-lattice design for</span></div>
<div class="line"><a id="l00224" name="l00224"></a><span class="lineno">  224</span><span class="comment">    /// the unit reference vectors.  It will always be the same as</span></div>
<div class="line"><a id="l00225" name="l00225"></a><span class="lineno">  225</span><span class="comment">    /// RVEA::suggestMu(n, m_approxMu) where n is the number of objectives.</span></div>
<div class="line"><a id="l00226" name="l00226"></a><span class="lineno">  226</span><span class="comment"></span>    std::size_t m_approxMu;</div>
<div class="line"><a id="l00227" name="l00227"></a><span class="lineno">  227</span>    <a class="code hl_struct" href="structshark_1_1_simulated_binary_crossover.html" title="Simulated binary crossover operator.">SimulatedBinaryCrossover&lt;SearchPointType&gt;</a> m_crossover;</div>
<div class="line"><a id="l00228" name="l00228"></a><span class="lineno">  228</span>    <a class="code hl_struct" href="structshark_1_1_polynomial_mutator.html" title="Polynomial mutation operator.">PolynomialMutator</a> m_mutation;<span class="comment"></span></div>
<div class="line"><a id="l00229" name="l00229"></a><span class="lineno">  229</span><span class="comment">    /// \brief Hyperparameter controlling reference vector adaptation rate.</span></div>
<div class="line"><a id="l00230" name="l00230"></a><span class="lineno">  230</span><span class="comment">    ///</span></div>
<div class="line"><a id="l00231" name="l00231"></a><span class="lineno">  231</span><span class="comment">    /// A value of 0.2 makes the algorithm adapt the reference vectors every 20%</span></div>
<div class="line"><a id="l00232" name="l00232"></a><span class="lineno">  232</span><span class="comment">    /// of the iterations. If the algorithm runs for a total of 1000 iterations,</span></div>
<div class="line"><a id="l00233" name="l00233"></a><span class="lineno">  233</span><span class="comment">    /// they will be readjusted on iteration 0, 200, 400, etc.  Is is called</span></div>
<div class="line"><a id="l00234" name="l00234"></a><span class="lineno">  234</span><span class="comment">    /// &quot;f_r&quot; in the paper.</span></div>
<div class="line"><a id="l00235" name="l00235"></a><span class="lineno">  235</span><span class="comment"></span>    <span class="keywordtype">double</span> m_adaptParam;<span class="comment"></span></div>
<div class="line"><a id="l00236" name="l00236"></a><span class="lineno">  236</span><span class="comment">    /// \brief Current iteration of the algorithm.</span></div>
<div class="line"><a id="l00237" name="l00237"></a><span class="lineno">  237</span><span class="comment">    ///</span></div>
<div class="line"><a id="l00238" name="l00238"></a><span class="lineno">  238</span><span class="comment">    /// The algorithm maintains knowledge of how long it has been running as</span></div>
<div class="line"><a id="l00239" name="l00239"></a><span class="lineno">  239</span><span class="comment">    /// this is required by parts of the RVEA algorithm.</span></div>
<div class="line"><a id="l00240" name="l00240"></a><span class="lineno">  240</span><span class="comment"></span>    std::size_t m_curIteration;</div>
<div class="line"><a id="l00241" name="l00241"></a><span class="lineno">  241</span><span class="comment"></span> </div>
<div class="line"><a id="l00242" name="l00242"></a><span class="lineno">  242</span><span class="comment">    /// \brief The active set of unit reference vectors.</span></div>
<div class="line"><a id="l00243" name="l00243"></a><span class="lineno">  243</span><span class="comment"></span>    RealMatrix m_referenceVectors;<span class="comment"></span></div>
<div class="line"><a id="l00244" name="l00244"></a><span class="lineno">  244</span><span class="comment">    /// \brief Contains the minimum angles between reference vectors.</span></div>
<div class="line"><a id="l00245" name="l00245"></a><span class="lineno">  245</span><span class="comment">    ///</span></div>
<div class="line"><a id="l00246" name="l00246"></a><span class="lineno">  246</span><span class="comment">    /// For each reference vector i, position i in this vector is the smallest</span></div>
<div class="line"><a id="l00247" name="l00247"></a><span class="lineno">  247</span><span class="comment">    /// angle between reference vector i and all the other reference vectors.</span></div>
<div class="line"><a id="l00248" name="l00248"></a><span class="lineno">  248</span><span class="comment"></span>    RealVector m_referenceVectorMinAngles;</div>
<div class="line"><a id="l00249" name="l00249"></a><span class="lineno">  249</span>    <a class="code hl_struct" href="structshark_1_1_reference_vector_guided_selection.html" title="Implements the reference vector selection for the RVEA algorithm.">ReferenceVectorGuidedSelection&lt;IndividualType&gt;</a> m_selection;</div>
<div class="line"><a id="l00250" name="l00250"></a><span class="lineno">  250</span>    <a class="code hl_struct" href="structshark_1_1_reference_vector_adaptation.html" title="Reference vector adaptation for the RVEA algorithm.">ReferenceVectorAdaptation&lt;IndividualType&gt;</a> m_adaptation;</div>
<div class="line"><a id="l00251" name="l00251"></a><span class="lineno">  251</span>};</div>
</div>
<div class="line"><a id="l00252" name="l00252"></a><span class="lineno">  252</span> </div>
<div class="line"><a id="l00253" name="l00253"></a><span class="lineno">  253</span>} <span class="comment">// namespace shark</span></div>
<div class="line"><a id="l00254" name="l00254"></a><span class="lineno">  254</span> </div>
<div class="line"><a id="l00255" name="l00255"></a><span class="lineno">  255</span><span class="preprocessor">#endif </span><span class="comment">// SHARK_ALGORITHMS_DIRECT_SEARCH_RVEA</span></div>
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